
Security data lake platform for threat detection via S3-native log indexing.
Scanner is a security data platform that indexes and analyzes security logs directly from Amazon S3, where the data already resides, rather than requiring ingestion into a separate storage system. It is designed as an alternative to traditional SIEMs and data lakes, addressing common pain points such as high ingestion costs, slow query performance, and vendor lock-in. Key characteristics: - Data remains in the customer's own cloud environment (S3), with no data movement to a vendor-controlled system - Supports continuous detection runs against the full stream of incoming security data - Enables historical search across years of log data in seconds - API-first architecture allows programmatic access to all queries and datasets, supporting custom workflows and integrations with existing security tooling - Native Model Context Protocol (MCP) support provides structured access to security data for AI agents and intelligence tools - Designed for AI workloads, enabling large-scale investigations that would otherwise be too slow or costly in traditional SIEMs Compliance and security posture: - SOC 2 Type II certified - GDPR compliant - Data residency options available The platform is used by companies across fintech, healthtech, and SaaS sectors. It is positioned as a security data lake solution with real-time detection capabilities, intended for security teams that require high data volume handling without the cost and operational overhead of conventional SIEMs.
Common questions about Scanner including features, pricing, alternatives, and user reviews.
Scanner is Security data lake platform for threat detection via S3-native log indexing, developed by Scanner. It is a Security Operations solution designed to help security teams with Log Management, S3, Detection Rules.
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